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6 часов назад

Data Scientist (AI)

155 000 - 220 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist (AI): Turning business, product, and operations data into decisions, metrics, experimentation frameworks, and reliable data foundations with an accent on cross-functional problem solving, A/B testing, and trustworthy data models. Focus on designing ETL pipelines, defining company-wide metrics, analyzing experiments, and building forecasting and modeling solutions for an audio AI data company.

Location: Onsite in San Francisco or New York City, United States

Salary: $155K–$220K per year

Company

hirify.global is an audio data research company developing high-quality datasets for AI labs and companies. Founded in 2024 by former Scale AI engineers and operators, the company serves FAANG companies and AI labs and has raised a $50M Series B.

What you will do

  • Identify high-leverage business problems with cross-functional partners and drive them to resolution.
  • Use data to form recommendations, shape priorities, and influence the roadmap.
  • Define core business, product, and operations metrics and maintain the company-wide data dictionary.
  • Own A/B experiments from hypothesis and test design through analysis and ship decisions.
  • Design and build reliable ETL pipelines and data models with trustworthy documentation.
  • Perform experimentation, deep-dive analysis, forecasting, dashboarding, and modeling.

Requirements

  • 3+ years of experience working on a cross-functional team as a product Data Scientist.
  • Experience turning ambiguous problems into clear recommendations.
  • Experience working in a fast-paced environment while owning work end-to-end.
  • Proficiency with AI coding tools and agentic workflows.
  • Strong SQL and Python skills for validating AI coding tool output.

Nice to have

  • Hands-on experience building and maintaining ETL pipelines and data models, including tools such as dbt, Airflow, or Dagster.
  • Experience defining company-wide metrics, building a data dictionary, or establishing analytics governance.
  • Experience with audio data, data research companies, or LALM evaluations.

Culture & Benefits

  • Work in a fast-moving, end-to-end ownership environment.
  • Collaborate closely with product, engineering, research, operations, and go-to-market teams.
  • Join a sharp, humble, ambitious, and tight-knit team focused on advancing audio AI.

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